期刊名称:STATISTICAL ANALYSIS AND DATA MINING

ISSN:1932-1864
出版频率:Bi-monthly
出版社:WILEY, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774
  出版社网址:http://onlinelibrary.wiley.com/
期刊网址:http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1932-1872
影响因子:1.051
主题范畴:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;    COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;    STATISTICS & PROBABILITY
变更情况:

期刊简介(About the journal)    投稿须知(Instructions to Authors)    编辑部信息(Editorial Board)   



About the journal

Online ISSN: 1932-1872

Overview



Aims and Scope


Statistical Analysis and Data Mining addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets, solutions utilizing innovative data mining algorithms and/or novel statistical approaches, and the objective evaluation of analyses and solutions. Of special interest are articles that describe analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce.

The focus of the journal is on papers which satisfy one or more of the following criteria:

  • Solve data analysis problems associated with massive, complex datasets
  • Are application and solution oriented with a focus on solving real problems
  • Describe innovative data mining algorithms or novel statistical approaches
  • Compare and contrast techniques to solve a problem, along with an objective evaluation of the analyses and the solutions

The goals of this interdisciplinary journal are to encourage collaborations across disciplines, communication of novel data mining and statistical techniques to both novices and experts involved in the analysis of data from practical problems, and a principled evaluation of analyses and solutions.

The 21st Century has become a Century of Data, with most domains striving for useful general models for their mountains of data. Data mining and statistical analysis are amongst the most effective bodies of methodology and technology capable of producing useful general models from massive, complex datasets.

Statistical Analysis and Data Mining will be a useful resource to those solving practical problems, at the same time enabling them to benefit from ideas developed in other domains. It will be an international journal, with an interdisciplinary focus, covering areas which are becoming increasingly important, and likely to remain so in the foreseeable future.


Guidelines for Reviewers

1) Scan the paper to identify the key contribution, if any.

2) If the key contribution is minor, reject the paper.

3) If the key contribution is substantial:
      a) Synopsize the main ideas of the paper in your own summary;
      b) If you know of any closely related research not covered in the paper, mention it;
      c) Check the paper for accuracy and note corrections;
      d) Check the paper for clarity and suggest alternative wordings where appropriate;
      e) If you find the paper incomplete, consider writing your own publishable comment.

4) Do not hesitate to ask the Associate Editor to obtain any of the following, as needed:
      a) Reference papers not easily accessible;
      b) Original source data;
      c) Original code.

5) Make your recommendation for:
      a) Acceptance – paper publishable as is;
      b) Minor Revision – no serious errors;
      c) Major Revision – poorly written or containing potentially correctable flaws;
      d) Rejection – paper would need to be totally rewritten or should be abandoned as a bad idea.


Readership


Statistical Analysis and Data Mining seeks to inform upper-level undergraduates and postgraduate students, teachers and researchers in data intensive fields, and scientists and research managers in industry that focus on data; moreover, Statistical Analysis and Data Mining includes reviews and tutorial-like articles that are especially useful for individuals entering data science fields.


Keywords


Data science; applied statistics; artificial intelligence; biostatistics and bioinformatics; computational Bayesian methods; computationally intensive statistical methods; data analysis; data mining; data structures; data visualization; machine learning; statistical learning; modeling and simulation; numerical analysis; optimization; statistical methods.
Abstracting and Indexing Information

  • Current Contents: Engineering, Computing & Technology (Clarivate Analytics)
  • Current Index to Statistics (ASA/IMS)
  • Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS)
  • Science Citation Index Expanded (Clarivate Analytics)
  • SCOPUS (Elsevier)
  • The DBLP Computer Science Bibliography (University of Trier)
  • Web of Science (Clarivate Analytics)
  • ZBMATH (Zentralblatt MATH)

Instructions to Authors

Author Guidelines


NIH Public Access Mandate
For those interested in the Wiley-Blackwell policy on the NIH Public Access Mandate, please visit our policy statement



Author Guidelines


Instructions to Authors

Submitted manuscripts should contain previously unpublished original research. Submitted manuscripts should not be under consideration for publication elsewhere. If you have any questions regarding editorial policy please contact the Editor.

1. Online Submission and Peer Review Authors should ensure that papers conform to the scientific and style instructions given below. In order to expedite the publication process for the Journal all manuscripts should be submitted online at http://mc.manuscriptcentral.com/sam.

Statistical Analysis and Data Mining has a completely digital submission, review, and production process. We therefore ask for production-quality files at submission of your article. This will speed the production and distribution of your work across a variety of print and electronic platforms. If you do not follow the simple guidelines given below, your submission will be returned to you for additional revision. This will of course delay review and, in the event that your work is accepted, would delay publication. So we ask that you pay careful attention at this time and we thank you for your cooperation.

To begin check for an existing user account by entering your email address in the space beneath the box that reads "Password Help." If you are submitting for the first time, and you do not find an existing account, create a new account by clicking on the words "Create Account" in the top right corner of the screen.

To submit a manuscript, go to your "Authoring Center." On the right-hand side of the screen, under "Author Resources," click the link that says, "Click here to submit a new manuscript." Please follow the on-screen instructions and the system wil guide you through the submission process. When you get to the File Upload page, please pay careful attention to the following instructions:

YOU MUST SUBMIT TEXT, TABLE, AND FIGURE FILES SEPARATELY.

IF YOU ARE SUBMITTING LATEX FILES YOU MUST ALSO SUBMIT A PDF FILE FOR REVIEW.

TEXT
Word Users:Submit your text in DOC or RTF format. Do not embed figures or tables in this document; these should be separate files. Please note: Text and figure files can be uploaded in one Zip file.

LaTeX Users:• All files must be formatted in LaTeX version 2.02 or earlier.• Figures must be formatted as either .tif or .eps files and saved separately.• Directory structures should not be used when referencing external files. This will cause a corrupted upload into ScholarOne Manuscripts (formerly known as Manuscript Central) and will result in the cancellation of manuscript submission.• Class and style files maybe either internal or external. ScholarOne Manuscripts provides all standard LaTeX class files for author use; however, you may create your own. Please make sure to check the log file provided at submission to see if you are missing the class file from your document.

LaTeX File Submission Guidelines:• In addition to your LaTeX files, you must upload a PDF version of your manuscript for review. Please designate this file as the main document. You must also submit all your LaTeX files. To do so, Zip up the directory containing your LaTeX files. This includes the TeX document, all graphics as separate files, any class files, and any bibliography files. This Zip file can be uploaded as a single file into ScholarOne Manuscripts. When uploading a Zip file, simply click the box to "Unpack zip files" and the system will unzip the files.

Technical Support: For PDF conversion support please contact support@scholarone.com. For all other inquiries, please contact your Journal Editorial Office.

TABLES
Tables should be created with a word processor and saved in either DOC or RTF format. Do not embed tables in your text. Tables should be on separate pages and saved as one file in DOC format.

FIGURES
To ensure the highest print quality, your figures must be submitted in either TIF or EPS format, according to the following minimum resolutions:
1200 dpi (dots per inch) for black and white line art (simple bar graphs, charts, etc.)  300 dpi for halftones (black and white photographs)  

  • 600 dpi for combination halftones (photographs that also contain line art such as labeling or thin lines) Figures should be saved as individual files. Vector-based figures (e.g. figures created in Adobe Illustrator) should be submitted in EPS format.


COLOR FIGURES
In addition to the above resolution guidelines, color figures must be submitted in a CMYK colorspace. Do not submit color figures as RGB.

UNACCEPTABLE FIGURE FORMATS
Do not submit figures in any of the following formats: JPG,GIF, PSD, CRD, PCT, PPT, PDF, XLS, DOC, BMP, 123 (or other Lotus formats).

Online help is available to you at all times during the process. You are also able to exit/re-enter at any stage before finally "submitting" your work. All submissions are kept strictly confidential. If you have any questions,do not hesitate to contact us at support@scholarone.com . You may also contact the Journal's Editorial Office, sam_ed@wiley.com.

DATA SETS
A key goal of Statistical Analysis and Data Mining is to encourage collaboration across disciplines on the analysis of data from practical problems. Reproducibility of data further enables collaboration and allows for a deeper understanding of the problems being solved. As a result, we have decided to implement a new data policy for all papers published in Statistical Analysis and Data Mining.

Upon submission, authors should upload all associated datasets, code, and software used in their article. Files should be uploaded as “Data Files” within the online submission system. Data should be clearly labeled and, along with an explanatory README file, saved as a zip file (or a similar archiving tool). A detailed description of the data should include all variables, along with the code used to analyze the data. For larger datasets, an author might find it more practical to post a dataset in a publicly available repository, in which case the article should include a link to the DOI of the published dataset within the article.

For authors who are unable to post their data, code, or software due to NDA/ownership restrictions, they should provide detailed instructions describing where everything can be located. If the supplementary material is not publicly available, papers will still be considered for publication, but we ask authors to provide a clear explanation upon submission.

Upon acceptance, Data Files will be automatically deposited to figshare, by Wiley, on behalf of the authors. A CC-Zero (no rights reserved) license will be applied by default. The data will be assigned a single DOI and will be automatically and permanently associated with the HTML version of the published manuscript.

More information about our Data Sharing Policy can be found here.

2. Scope of Statistical Analysis and Data Mining.

The Journal addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets,solutions utilizing innovative data mining algorithms and/or novel statistical approaches, and the objective evaluation of analyses and solutions. Of special interest are articles that describe analytical techniques,and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce.

The focus of the journal is on papers which satisfy one or more of the following criteria:
Solve data analysis problems associated with massive, complex datasets  

  • Are application and solution oriented with a focus on solving real problems
  • Describe innovative data mining algorithms or novel statistical approaches
  • Compare and contrast techniques to solve a problem, along with an objective evaluation of the analyses and the solutions
The goals of this interdisciplinary journal are to encourage collaborations across disciplines, communication of novel data mining and statistical techniques to both novices and experts involved in the analysis of data from practical problems, and a principled evaluation of analyses and solutions.

All manuscripts are evaluated for their scientific content and significance by the Editors, an Associate Editor, and at least three independent reviewers.

3. Types of Manuscripts.
Articles are comprehensive accounts of significant experimental or theoretical results. While there are no fixedl imitations to the length of an article, authors are asked to write their manuscripts in a clear and concise manner and to include only data crucial to arriving at their final conclusions.
Perspectives articles summarize the viewpoints of distinguished authors with regard to the current status, lessons learned, and future direction of the field. Perspectives may be submitted only by invitation.
Review Articles provide a comprehensive summary of broadly-based topics of general interest to the fields. Reviews are not limited as to the number of words, tables, figures and references that may be included.
Reviews are by invitation only. Authors interested in preparing a Review Article should provide a brief outline to one of the Editors-in-Chief,requesting an invitation to submit a manuscript.

4. Preparation of Manuscripts.
(a) General Considerations. Authors must submit their manuscripts online to expedite peer review at http://mc.manuscriptcentral.com/sam.

(b) Suggested Reviewers. The Journal encourages that submitting authors suggest at least two reviewers, and up to a maximum of four reviewers. Please include suggested reviewers' contact information.

(c) Assembly. Authors submitting their manuscripts online need only follow the instructions provided above (Section 1). For those who are unable to submit online, please note that separate sheets should be used for the title page, with authors' names and affiliations, and for the abstract.References and notes, tables, and figure legends should be grouped on separate sheets, in that order. Every page, beginning with the title page, should be numbered. Be consistent in author designation and supply given name, initial of second name, and last name. Give the complete mailing address of the place where the work was done and include the telephone, fax number, and e-mail address of the corresponding author. Add the current address and e-mail of each author, if different, on the title page of the manuscript with a numerical superscript and footnote. The corresponding author is indicated by a superscript * (e.g., Smith*).

(d) Title. Titles are of great importance for current awareness and for information retrieval. The wording of titles should be chosen carefully to provide information on the contents and to function as "points of entry" for information retrieval. Symbols, formulas, or arbitrary abbreviations should not be included in the title.

(e) Abstract. The abstract should briefly (80-200words) present,in one paragraph, the problem and solution approach and state the major findings and conclusions. It should be self-explanatory and suitable for reproduction without rewriting. Footnotes or undefined abbreviations may not be used. If a reference must be cited, complete publication data must be given.

(f) Keywords. Please provide up to 10 keywords that reflect the content of your manuscript. In addition to facilitating indexing of articles, our keyword system assists in the assignment of qualified reviewers for your manuscript.

(g) References and Notes.

References: List references in alphabetical order by the lead author's last name. In text citations should use the # sign in brackets to represents the order that the citation is mentioned in the text of the paper. For example, [5] would indicate that this is the fifth citation found in the text.

Journal article:

1. S. Dostoglou, S.: On the asymptotics of the finite energy solutions of the Yang-Mills-Higgs equations, Journal of Mathematical Physics, 31, 2490-2496 (1990). 

Book edition:

2. N. Lesmoir-Gordon, M, Frame, B. Mandelbrot, N. Neger, Mandelbrot's World of Fractals, Key Curriculum Press, 2005.

For more information about AMS reference style - AMS Author Handbook



(h) Supporting Information.The Supporting Information format of this journal can accommodate and make readily available almost any type of supplementary figures or data (e.g., reproductions of spectra, experimental procedures, tabulated data, expanded discussion of peripheral findings,etc.).The author should include a Supporting Information Available statement that describes the material at the end of the printed manuscript text.Consult a current issue of the Journal for the proper wording of this statement. Supporting Information should be clear and of high contrast(suitable for direct photo reproduction) and submitted in quadruplicate on 8.5-×11-in. paper. All pages of Supporting Information must be consecutively numbered. Captions or legends for figures, spectra, etc., must appear directly on the figure. Supporting Information is available free of charge via the Internet (http://onlinelibrary.wiley.com/).

(i) Acknowledgments. This section should acknowledge financial support, technical assistance, advice from colleagues, gifts, etc. Permission must be received from persons whose contribution to the work is acknowledged in the manuscript.

(j) Tables. Tabulation of experimental results is encouraged when this leads to more effective presentation or to more economical use of space. Tables should be numbered consecutively with Arabic numerals. Provide a brief title with each table and a brief heading for each column. Clearly indicate the units of measure (preferably SI). Data should be rounded to the nearest significant figure. Explanatory material referring to the whole table is to be included as a footnote to the title (a). Footnotes in tables should be given lower case letter designations and cited in the tables as italicized superscripts. Tables that require special treatment, such as insertion of arrows or other special symbols under or over alphanumeric characters, or contain many structures should be submitted as camera-ready copy. All tables should be cited in the text.

(k) Illustrations. The quality of the illustrations printed in your paper depends on the quality of the originals you provide. Electronic submission of illustrations is encouraged. Preferred formats for graphics and artwork are TIFF (tagged image file format) and EPS (Encapsulated PostScript). John Wiley & Sons, Inc. journal pages are now produced completely electronically. In preparing illustrations, contrast is important. Use dark black ink on high quality, smooth, opaque white paper. Ordinary white bond paper works well. Avoid tracing paper or textured "artist" papers.

Illustrations must fit a one- or two-column format on the journal page:For efficient use of journal space, single column illustrations are preferred.


Mininum Width
Maximum Width
Maximum Depth
Single (preferred)

8 cm (3.125 in)
23 cm (9 in)
Double
9 cm (3.5 in)
16.5 cm (6.5 in)
23 cm (9 in)


For best results, submit illustrations in the actual size at which they should appear in the journal. Original illustrations which do not need to be reduced to fit a single or double column will yield the best quality. Lettering should be no smaller than 4.5 points (the Helvetica type-face works well for lettering). Lines should be no thinner than 0.5 point. Lettering and lines should be of uniform density. If you must submit artwork that must be reduced,use larger lettering and thicker lines so that, when reduced,the artwork meets the above-mentioned parameters. Avoid using complex textures and shading to achieve a three-dimensional effect. To show a pattern, choose a simple cross-hatch design.

Color. All color figures will be reproduced in full color in the online edition of the journal at no cost to the authors. Authors are required to pay the cost of reproducing color figures in print. Authors are encouraged to submit color illustrations that highlight the text and convey essential scientific information. For best reproduction, bright, clear colors should be used. Dark colors against a dark background do not reproduce well; please place your color images against a white background whenever possible. Please email sam_ed@wiley.com for further information.

5. Proofs and Reprints. Proofs are sent to the author who submitted the papers. Authors are directed via email to download proofs from a secure FTP site unless authors request otherwise. Proofs should be verified against the manuscript and appropriate corrections made. Substantial changes in a manuscript after type has been set require editorial approval and in some cases may be cause for re-reviewing.

6. Corrections. If errors of consequence are found in the published paper, a correction of the error should be sent by the author to the Editor for publication in the corrections and additions section.

7. Copyright Transfer Agreements. A signed Copyright Transfer Agreement (CTA) is required to be completed after manuscript acceptance. This must be done using the Wiley Author Licensing Service where authors may also indicate whether the article should be OnlineOpen. After acceptance you will receive an email from Author Services with a link to your "My Publication" page and you will be guided through the process in order to select and sign the correct CTA form. Only original papers will be vested in the publisher. No article can be published unless accompanied by a signed publication agreement, which serves as a transfer of copyright from author to publisher. It is the author's responsibility to obtain written permission to reproduce materials that has appeared in another publication.

8. Manuscripts submitted to Statistical Analysis and Data Mining should contain significant, unpublished, original data not being considered simultaneously for publication elsewhere. All authors should be aware of and in agreement with the submission of this manuscript and share responsibility for its content. The manuscript should provide full and appropriate credit to those who contributed to the underlying work. Related research in the field should be acknowledged in the manuscript through appropriate literature citations. Manuscripts should be devoid of any forms of plagiarism with respect to ideas,words,graphic materials or other forms of communication. Authors who violate any of these basic rules of scientific ethics may be barred from publishing in Statistical Analysis and Data Mining at the sole discretion of the Editors.

For questions about editorial policy, please contact the Editor-in-Chief, Niall Adams: n.adams@imperial.ac.uk

For all production questions, please contact the production editor, Wendy Druck: wdruck@wiley.com


Editorial Board

EDITOR-IN-CHIEF

Niall Adams
Imperial College London
Email: n.adams@imperial.ac.uk
AREA EDITORS

Statistics

Alan Izenman
Temple University
Email: alan@temple.edu 

 

Data Mining

Mohammed J. Zaki
Rensselaer Polytechnic Institute
Email: zaki@cs.rpi.edu

Applications

Zoran Obradovic
Temple University
Email: zoran@ist.temple.edu

Review Editor

Brendan Murphy
University College, Dublin
brendan.murphy@ucd.ie

Associate Editors

Edo Airoldi
Harvard University
Email: airoldi@fas.harvard.edu

Chidanand Apte
IBM, T. J. Watson Research Center
Email: apte@us.ibm.com

Lynne Billard
University of Georgia
Email: lynne@stat.uga.edu

Orlaith Burke
Oxford University
Email: burke@stats.ox.ac.uk

Nitesh Chawla
iCeNSA
Email: nchawla@nd.edu

Samson Cheung
University of Kentucky
Email: cheung@engr.uky.edu

Bertrand Clarke
University of Nebraska-Lincoln
Email: bclarke3@unl.edu

Adele Cutler
Utah State University
Email: adele.Cutler@usu.edu

Yang Feng
Columbia University
Email: yangfeng@stat.columbia.edu

Minos Garofalakis
Technical University of Crete
Email: minos@softnet.tuc.gr

Lauren Hannah
Columbia University
 Email: lah2178@columbia.edu

Ying Hung
Rutgers University
 Email: yhung@stat.rutgers.edu

   Yongdai Kim
Seoul National University
Email: ydkim0903@gmail.com

Eric Laber
North Carolina State University
Email: eblaber@ncsu.edu

Yoonkyung Lee
Ohio State University
Email: yklee@stat.osu.edu

Huan Liu
Arizona State University
Email: huanliu@asu.edu

Srinivas Maloor
Fidelity Investments
Email: srinivas.maloor@fmr.com

Tyler McCormick
University of Washington
Email: tylermc@uw.edu  

Alejandro Murua
University of Montreal
Email: murua@dms.umontreal.ca

Dino Pedreschi
Università di Pisa
Email: pedre@di.unipi.it

Cynthia Rudin
Massachusetts Institute of Technology
Email: rudin@mit.edu

Babak Shabhababa
University of California, Irvine
Email: babaks@uci.edu

David Skillicorn
Queen's University
Email: skill@cs.queensu.ca

Ashok N. Srivastava
Verizon
Email: ashok22@hotmail.com

Ryan Tibshirani
Carnegie Mellon University
Email: ryantibs@cmu.edu

Simon Wilson
Trinity College Dublin
Email: swilson@tcd.ie

Minge Xie
Rutgers University
Email: mxie@stat.rutgers.edu

Helen Zhang
University of Arizona
Email: hzhang@math.arizona.edu

Tian Zheng
Columbia University
Email: tzheng@stat.columbia.edu 

Zhigen Zhao
Temple University
Email: zhaozhg@temple.edu

Zhi-Hua Zhou
LAMDA Group
Email: zhouzh@nju.edu.cn

Mu Zhu
University of Waterloo
Email: m3zhu@uwaterloo.ca

Advisory Board Members


Usama Fayyad
Yahoo Inc.
Email: usama@yahoo-inc.com

Jiawei Han
University of Illinois at Urbana-Champaign
Email: hanj@cs.uiuc.edu

David Hand
Imperial College, London
Email: d.j.hand@imperial.ac.uk

David Heckerman
Microsoft Inc.
Email: heckerma@microsoft.com

Anil Jain
Michigan State University
Email: jain@cse.msu.edu

Heikki Mannila
University of Helsinki
Email: mannila@cs.helsinki.fi  

David Scott
Rice University
Email: scottdw@stat.rice.edu

Padhraic Smyth
University of California, Irvine
Email: pjsmyth@uci.edu

Victoria Stodden
Columbia University
Email: Victoria@stodden.net

Geoff Webb
Monash University
Email: geoff.webb@infotech.monash.edu.au

Philip Yu
University of Illinois at Chicago
Email: psyu@cs.uic.edu

Founding Editors
Vipin Kumar
Department of Computer Science and Engineering
University of Minnesota
Email: kumar@cs.umn.edu
Arnold Goodman
Collaborative Data Solutions
Email: datagoodman@att.net
Chandrika Kamath
Lawrence Livermore National Laboratory
Email:kamath2@llnl.gov

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